library(ggplot2)

## Warning: package 'ggplot2' was built under R version 4.3.3

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(tidyr)
library(lubridate)

## 
## Attaching package: 'lubridate'

## The following objects are masked from 'package:base':
## 
##     date, intersect, setdiff, union

library(stringr)
library(emojifont)

## Warning: package 'emojifont' was built under R version 4.3.3

library(ggtext)

## Warning: package 'ggtext' was built under R version 4.3.3

library(leaflet)
library(sf)

## Linking to GEOS 3.11.2, GDAL 3.7.2, PROJ 9.3.0; sf_use_s2() is TRUE

library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0     ✔ readr   2.1.5
## ✔ purrr   1.0.2     ✔ tibble  3.2.1

## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readr)
library(jsonlite)

## 
## Attaching package: 'jsonlite'
## 
## The following object is masked from 'package:purrr':
## 
##     flatten

library(wordcloud)

## Warning: package 'wordcloud' was built under R version 4.3.3

## Loading required package: RColorBrewer

library(tidytext)

##Two variable comparisons data

airbnb_parsed <- airbnb_data |>
  select(Name, Title, Id, `Listing URL`, Price, Beds, Baths, Bedrooms, `Average Rating`, `Number of Reviews`, `More Details`, `Listing Type`, `Room Type Category`) |>
  mutate(price_parsed = parse_number(Price))

house_icon <- makeIcon(
  iconUrl = "https://www.iconeasy.com/icon/png/System/Vista%20General/house.png",
  iconWidth = 29,
  iconHeight = 29
)

rat_icon <- makeIcon(
  iconUrl = "https://icons.iconarchive.com/icons/google/noto-emoji-animals-nature/256/22251-rat-icon.png",
  iconWidth = 28,
  iconHeight = 28
)

leaflet() |>
  addTiles() |>
  setView(lng = -74.00, lat = 40.71, zoom = 12) |>
  addMarkers(data = airbnb_data, lng = ~Longitude, lat = ~Latitude, icon = house_icon,
     popup = ~paste("<a href='", `Listing URL`, "'><b>", Title, "</b></a>", "</br>", Name, "</br>", Price, Qualifier))|>
  addMarkers(data=rats_graph, lng=~Longitude, lat=~Latitude, icon = rat_icon, popup = ~paste("squeak squeak:)"))

carrot_icon <- makeIcon(
  iconUrl = "https://images.emojiterra.com/google/noto-emoji/unicode-15.1/color/svg/1f955.svg",
  iconWidth = 29,
  iconHeight = 29
)

leaflet() |>
  addTiles() |>
  setView(lng = -74.00, lat = 40.71, zoom = 12)|>
  addMarkers(data=farmers_markets, lng=~longitude, lat=~latitude, icon = carrot_icon, popup = ~paste(marketname, "</br>", daysoperation, hoursoperations))

leaflet() |>
  addTiles() |>
  setView(lng = -74.00, lat = 40.71, zoom = 12)|>
  addPolygons(data=parks_sf, color="deeppink", popup = ~paste(SIGNNAME))

word <- airbnb_data |>
  select(Name) |>
  mutate(Name = str_to_lower(Name),
         word = str_split(Name, "\\s+"))|>
         unnest(word) |>
  mutate(word = str_remove_all(word, "[^[:alpha:]]")) |>
  anti_join(stop_words) |>
  count(word, sort=TRUE)|>
  slice(2:378)

## Joining with `by = join_by(word)`

pinkalicious <- c("#FF6FFF", "#FF5D99", "hotpink", "#FFCFF7", "deeppink")


wordcloud(words = word$word, freq = word$n, min.freq = 1,
          max.words = 100, random.order = FALSE, rot.per = 0.35, 
          colors = pinkalicious)